The Fourier Transform and its Applications is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Linear Systems and Optimization series and is taught by Professor Brad Osgood, of Stanford University's Electrical Engineering Department. <p> The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. Together with a great variety, the subject also has a great coherence, and the hope is students come to appreciate both. <p> Topics include: The Fourier transform as a tool for solving physical problems. Fourier series, the Fourier transform of continuous and discrete signals and its properties. The Dirac delta, distributions, and generalized transforms. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. The discrete Fourier transform and the FFT algorithm. Multidimensional Fourier transform and use in imaging. Further applications to optics, crystallography. Emphasis is on relating the theoretical principles to solving practical engineering and science problems.

This was presented at the International Conference on Computers in Education 2004. ePortfolios can serves as a powerful tool for technology integration for K-12 teachers. This paper reports on the pros and cons on the use of “eFolio Minnesota” for K-12 in-service teachers at a graduate program. This paper also reflects on the process of incorporating the technology standards established by the International Society for Technology in Education (ISTE) in projects to demonstrate technology competency of the in-service teachers. By employing ISTE standards, the in-service teachers can follow the performance indicators within a prescribed framework to evaluate their own work and to assess their technical growth. With this framework, it also makes the evaluation of the projects easier.

Machine Learning is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Andrew Ng, Assistant Professor of Stanford University's Computer Science Department. This course provides a broad introduction to machine learning and statistical pattern recognition. <p> Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.

Penn State's ePortfolio site includes this article by David DiBiase on thier "About" page. For students and faculty alike, it provides a very good introduction covering the benefits to the student, the faculty, and the institution. DiBiase doesn't shy away from covering the cost, obstacles and challenges. This provides a very good overview for all.

This is Penn State's ePortfolio website which is a great model to emulate. This link goes directly to their "about" overview. They include a good graphic showing how they see ePortfolios fitting in to the student's current activities. They include why create an ePortfolio, and who can use their services. At the bottom of the page is a great article (pdf) "Rationale for using ePortfolios" by David DiBiase.

Tosh and Werdmuller's white paper (March 15, 2004) explores integrating weblogs and ePortfolios to provide the means for reflection. They discuss how an ePortfolio works, the purpose of an ePortfolio, then continue to the ethos of the weblog. There is a bit on weblog technology and how it applies ePortfolios. XML, HTML, RSS, and SOAP are all mentioned, as are ideas for transferring portolio files and ensuring security.

This 2004 article offers descriptions of developmental stages in adopting ePortfolios. The authors define the levels of maturation defined as: scrapbook, curriculum vitae, curriculum collaboration between student and faculty, mentoring leading to mastery, and authentic evidence as authoritative evidence for assessment, evaluation, and reporting. They include two case studies -- California Lutheran University, School of Education and Illinois State University, business Information Systems Program, College of Business. The article includes tables defining maturation and "Criteria for Ascertaining Level of Maturation."

Natural Language Processing is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Christopher Manning, Associate Professor of Stanford University's Computer Science Department. <p> This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Wordlevel, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered. The focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, disambiguation, and parsing. Also, it examines and constructs representative systems.

Introduction to Robotics is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Professor Oussama Khatib of Stanford University's Computer Science Department. <p> The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets. <p> Topics: robotics foundations in kinematics, dynamics, control, motion planning, trajectory generation, programming and design.

This May 2005 article discusses the appropriateness of use of an ePortfolio to exhibit skills and capabilities to prospective employers. The author includes the components of a good ePortfolio divided by the use: for Job-seeking and for developmental. He includes an example of a commentary for a Showcase Portfolio by a technical writer. He discusses how an career advisor can help evaluate the ePortfolio, and the benefits for mid-to-late career professional and highly skilled professionals to seek this expert advice. There is some reference to lifelong portfolios and the benefit of having work samples collected through your career. Stated challenges include technology, authenticity, and evaluation.

Programming Paradigms is one of ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Introduction to Computer Science series and is taught by Jerry Cain of Stanford University's Computer Science Department. <p> Programming Paradigms topics include advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms. The functional paradigm (using LISP) and concurrent programming (using C and C++). Brief survey of other modern languages such as Python, Objective C, and C#.

In EDUCAUSE Quarterly, vol. 31, no. 4 (October–December 2008)Chris Ward and Cris Moser write about the results of a survey of employers. They show 56% of employers plan to use ePortfolios in the future and discuss the opportunity college career services has to use this new technology with 95% preferring access by a web-based link. Their conclusion includes suggestions for success.

Programming Abstractions is one of ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Introduction to Computer Science series and is taught by Julie Zelenski of Stanford University's Computer Science Department. <p>This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java. If you've taken the Computer Science AP exam and done well (scored 4 or 5) or earned a good grade in a college course, Programming Abstractions may be an appropriate course for you to start with, but often Programming Abstractions (Accelerated) is a better choice. Programming Abstractions assumes that you already have familiarity with good programming style and software engineering issues (at the level of Programming Methodology), and that you can use this understanding as a foundation on which to tackle new topics in programming and data abstraction. <p> Topics: Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Object-oriented programming, fundamental data structures (such as stacks, queues, sets) and data-directed design. Recursion and recursive data structures (linked lists, trees, graphs). Introduction to time and space complexity analysis. Uses the programming language C++ covering its basic facilities.

Connections Volume 3, Issue 3 July 2008 issue has great articles on ePortfolios and Career Planning. Following a strong Note from the Editors (Tracy Penny Light & Cara Lane), articles include Using ePortfolios for Job Searching (Candace Ford, Sarah Lucas Hartley, Jill Lumsden - Florida State University), use in Developing Professional Reflective Practice in Vocational Subjects using an ePortfolio System (Julie Hughes, Linsey Duncan-Pitt & Emma Purnell - University of Wolverhampton), ePortfolios for Developing Professional Competencies (Bob Sproule, Tracy Penny Light, Katherine Lithgow - University of Waterloo).

Compare over 19,000 online education degree programs, our directory includes all US High Schools, online colleges, online universities and distance learning programs. We also offer searches for Trade Schools, College’s and University campuses in the US and Canada. Online schools offering degree programs are accredited by governmental agencies.

This website that contains many simulations and animations related to the discovery and development of quantum physics such as the Photoelectric Effect, Quantum Tunneling, Lasers, Models of the Hydrogen Atom, Semiconductors, and Rutherford Scattering along with several others. This site is primarily conceptual in nature however some quantitative measurements can be made.

This concept map is a model for a student centered ePortfolio system which allows for a repository and secure, selective access for the student - as displayed by the left side. The right side shows how data aggregation can help the Institution with accreditation by collecting information on goals and standards. It displays the need for the backend to be organized by departments, classes, and assignments.

An undergraduate college level textbook covering first order predicate logic with identity but omitting metalogical proofs.

OCW is pleased to make this textbook available online. Published in 1991 and still in print from Wellesley-Cambridge Press, the book is a useful resource for educators and self-learners alike. It is well organized, covers single variable and multivariable calculus in depth, and is rich with applications. There is also an online Instructor's Manual and a student Study Guide.

Book description: This is a text on elementary multivariable calculus, designed for students who have completed courses in single-variable calculus. The traditional topics are covered: basic vector algebra; lines, planes and surfaces; vector-valued functions; functions of 2 or 3 variables; partial derivatives; optimization; multiple integrals; line and surface integrals.